Data-driven Decision Making

Data-driven Decision Making

This course is part of Data Analysis and Presentation Skills: the PwC Approach Specialization

Instructor: Alex Mannella

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Assessments

4 assignments

Taught in English

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This course is part of the Data Analysis and Presentation Skills: the PwC Approach Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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There are 4 modules in this course

Welcome to Data-driven Decision Making. In this course, you'll get an introduction to Data Analytics and its role in business decisions. You'll learn why data is important and how it has evolved. You'll be introduced to “Big Data” and how it is used. You'll also be introduced to a framework for conducting Data Analysis and what tools and techniques are commonly used. Finally, you'll have a chance to put your knowledge to work in a simulated business setting.

In this module, you'll learn the basics of data analytics and how businesses use to solve problems. You'll learn the value data analytics brings to business decision-making processes. We’ll introduce you to a framework for data analysis and tools used in data analytics. Finally, we’re going to talk about careers and roles in data analytics and data science. Note: Video transcripts are auto generated and may contain spelling and punctuation errors.

What's included

11 videos8 readings1 assignment2 discussion prompts

11 videosTotal 56 minutes

Specialization overview7 minutesPreview module
Welcome to Data Driven Decision Making2 minutes
What is Data Analytics?7 minutes
Solving business problems using data analytics4 minutes
Making business-defining decisions using data analytics4 minutes
Why do you need a data and analytics framework?3 minutes
The 4 aspects of the data and analytics framework3 minutes
Data and analytics framework: tools and techniques12 minutes
Make better and faster decisions with data and analytics4 minutes
Data and analytics at PwC5 minutes
Week 1 recap with Amity and Mike1 minute

8 readingsTotal 90 minutes

Course overview and syllabus10 minutes
Updating your profile10 minutes
The value delivered by analytics10 minutes
PwC's Global Data and Analytics Survey 201610 minutes
The data and analytics framework10 minutes
Types of analytics10 minutes
Careers and roles in a professional services firm20 minutes
Learn more about PwC and our career opportunities10 minutes

1 assignmentTotal 15 minutes

Week 1 Quiz15 minutes

2 discussion promptsTotal 20 minutes

Get to know your classmates and share your goals10 minutes
Making better and faster decisions10 minutes

This module is an introductory look at big data and big data analytics where you will learn the about different types of data. We’ll also introduce you to PwC's perspective on big data and explain the impact of big data on businesses. Finally we will name some of the different types of tools and technologies used to gather data.

What's included

7 videos3 readings1 assignment4 discussion prompts

7 videosTotal 52 minutes

The marketplace and emerging trends in big data analytics10 minutesPreview module
Business impacts of technology advancements and data trends9 minutes
What is Big Data?12 minutes
PwC's perspective on big data5 minutes
Data and analytics examples at PwC5 minutes
Identifying, organizing and processing data7 minutes
Week 2 recap with Amity and Mike1 minute

3 readingsTotal 40 minutes

"Structured", "Semi-Structured", and "Unstructured" data10 minutes
Implications of unstructured data - Case studies20 minutes
Data tools and technologies10 minutes

1 assignmentTotal 15 minutes

Week 2 Quiz15 minutes

4 discussion promptsTotal 40 minutes

Predicting the implications of technology advancements10 minutes
What technology advacements have changed your behaviors?10 minutes
Data in action discussion10 minutes
What is the value you can expect from emerging trends in big data?10 minutes

In this module we will describe some of the tools for data analytics and some of the key technologies for data analysis. We will talk about how visualization is important to the practice of data analytics. Finally we will identify a variety of tools and languages used and consider when those tools are best used.

What's included

8 videos2 readings1 assignment1 discussion prompt

8 videosTotal 38 minutes

Types of data analysis techniques10 minutesPreview module
The role of Excel3 minutes
The role of SAS2 minutes
The role of R6 minutes
The role of Python5 minutes
The Power of Visualization3 minutes
The role of QlikView4 minutes
Week 3 recap with Amity and Mike2 minutes

2 readingsTotal 20 minutes

Data analysis approaches and techniques10 minutes
A Business Example of Data Visualization Tools10 minutes

1 assignmentTotal 15 minutes

Week 3 quiz15 minutes

1 discussion promptTotal 10 minutes

What tools have you used?10 minutes

The course project will give you an opportunity to practice what you have learned. You will participate in a simulated business situation in which you will select the best course of action. You will then prepare a final deliverable which will be evaluated by your peers. Additionally, you will have the opportunity to provide feedback on your peer's submissions.

What's included

2 videos2 readings1 assignment1 peer review

2 videosTotal 5 minutes

Intro to Week 4 and Course Project2 minutesPreview module
Course recap with Amity and Mike2 minutes

2 readingsTotal 20 minutes

Final course simulation10 minutes
Learn more about PwC and our career opportunities10 minutes

1 assignmentTotal 10 minutes

Final course simulation quiz10 minutes

1 peer reviewTotal 90 minutes

Final Project and Peer Review with Feedback90 minutes

Instructor

Instructor ratings

4.7 (629 ratings)

Alex Mannella

PwC

5 Courses372,377 learners

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PwC

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Reviewed on Nov 14, 2018

What an excellent laid out course curriculum. Bite size learning, various mediums, understandable concepts applied to real life business cases made for a 100% take away and applied knowledge. We

Reviewed on Nov 17, 2017

An excellent course to get a high level overview of various tools- how things work in a professional consultancy- concise frameworks.Good for people who are just starting up with analytics.

Reviewed on Jan 9, 2021

I'm so glad to join your course, Data Driven Decision Making. I got a lot of knowledge about data decision making and functions of data.I'm really really appreciated to join this course for newcomers.

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